Triple

T11936856
Position Surface form Disambiguated ID Type / Status
Subject For SAAM E284066 entity
Predicate hasMediumSupport P182 FINISHED
Object electronic signage LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: electronic signage | Statement: [For SAAM, hasMediumSupport, electronic signage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMediumSupport
Context triple: [For SAAM, hasMediumSupport, electronic signage]
  • A. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • B. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • C. hasMediumCharacter
    Indicates that one entity possesses or is associated with a character whose size, intensity, or degree is classified as medium.
  • D. requiresMedium
    Indicates that an action or process depends on or must be carried out within a specific medium or environment to occur or be valid.
  • E. hasPageMedium
    Indicates that a page or document is associated with a particular physical or digital medium through which it is presented or stored.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903094218819092e11b273d87de65 completed April 10, 2026, 2:02 p.m.
PD Predicate disambiguation batch_69d8bb3af0188190bfb22be5c97b3349 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.